@modusensus/dsh-mneme
Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.
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Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.
Cross-session memory plugin for DSH — auto-extraction, semantic recall, scheduled maintenance, LLM-powered consolidation, context explosion prevention, global Soul identity
Long-term memory system for DeepSeek Harness: two-phase extraction/consolidation pipeline over session logs, with summary injection and memory tools
Microsoft SkillOpt-Sleep integration for DeepSeek Harness: give your dsh agent a nightly sleep cycle that harvests past sessions, replays recurring tasks, and consolidates validated skills behind a held-out gate.
Native layered memory for DeepSeek Harness with persona files, workspace scope, semantic recall, and background consolidation
Cross-session memory plugin for DSH — auto-extraction, semantic recall, scheduled maintenance, LLM-powered consolidation, context explosion prevention, global Soul identity
Queue Consolidation for DeepSeek Harness: when the agent is busy and you queue several follow-up messages, the next turn runs with ONE consolidated formal prompt — the model rewrites the batch into a single prompt and executes once, instead of piecemeal one-message-per-turn rework.